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ORCIDPaulius Rauba
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2020 – today
- 2025
[j1]Fergus Imrie, Paulius Rauba, Mihaela van der Schaar:
Redefining digital health interfaces with large language models. Frontiers Artif. Intell. 8 (2025)- [c4]Paulius Rauba, Qiyao Wei, Mihaela van der Schaar:
Visualizing token importance for black-box language models. AISTATS 2025: 4105-4113 - [c3]Paulius Rauba, Qiyao Wei, Mihaela van der Schaar:
Statistical Hypothesis Testing for Auditing Robustness in Language Models. ICML 2025 - [i8]Paulius Rauba, Qiyao Wei, Mihaela van der Schaar:
Statistical Hypothesis Testing for Auditing Robustness in Language Models. CoRR abs/2506.07947 (2025) - [i7]Paulius Rauba, Mihaela van der Schaar:
Deep Hierarchical Learning with Nested Subspace Networks. CoRR abs/2509.17874 (2025) - [i6]Paulius Rauba, Qiyao Wei, Mihaela van der Schaar:
Visualizing token importance for black-box language models. CoRR abs/2512.11573 (2025) - 2024
- [c2]Paulius Rauba, Nabeel Seedat, Krzysztof Kacprzyk, Mihaela van der Schaar:
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments. NeurIPS 2024 - [c1]Paulius Rauba, Nabeel Seedat, Max Ruiz Luyten, Mihaela van der Schaar:
Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models. NeurIPS 2024 - [i5]Paulius Rauba, Nabeel Seedat, Max Ruiz Luyten, Mihaela van der Schaar:
Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models. CoRR abs/2410.24005 (2024) - [i4]Paulius Rauba, Nabeel Seedat, Krzysztof Kacprzyk, Mihaela van der Schaar:
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments. CoRR abs/2411.00186 (2024) - [i3]Paulius Rauba, Qiyao Wei, Mihaela van der Schaar:
Quantifying perturbation impacts for large language models. CoRR abs/2412.00868 (2024) - 2023
- [i2]Fergus Imrie
, Paulius Rauba, Mihaela van der Schaar:
Redefining Digital Health Interfaces with Large Language Models. CoRR abs/2310.03560 (2023) - 2021
- [i1]Hannah Rose Kirk, Yennie Jun, Paulius Rauba, Gal Wachtel, Ruining Li, Xingjian Bai, Noah Broestl, Martin Doff-Sotta, Aleksandar Shtedritski, Yuki Markus Asano:
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset. CoRR abs/2107.04313 (2021)
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